The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-10-13"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "38129806 (up from 37801526 yesterday: 0.87 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1086141 (up from 1080680 yesterday: 0.51 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 6526847

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.85



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 7856605 52406 0.67 960387 215887 802 0.37 2.75
India 7239389 63509 0.89 1593379 110586 730 0.66 1.53
Brazil 5113628 10220 0.20 522264 150998 309 0.21 2.95
Russia 1318783 13690 1.05 207626 22834 240 1.06 1.73
Colombia 924098 5014 0.55 146561 28141 156 0.56 3.05
Argentina 917035 13305 1.47 264861 24572 386 1.60 2.68
Spain 896086 7118 0.80 213819 33204 80 0.24 3.71
Peru 853974 2803 0.33 85079 33419 62 0.19 3.91
Mexico 825340 4295 0.52 120077 84420 475 0.57 10.23
France 798257 22160 2.86 291107 32982 279 0.85 4.13
South Africa 694537 1178 0.17 31255 18028 165 0.92 2.60
United Kingdom 637708 17250 2.78 231650 43108 143 0.33 6.76
Iran 508389 4108 0.81 79196 29070 254 0.88 5.72
Chile 484280 1448 0.30 35757 13396 20 0.15 2.77
Iraq 409358 3921 0.97 81778 9970 58 0.59 2.44
Bangladesh 381275 1537 0.40 29097 5577 22 0.40 1.46
Italy 365467 5898 1.64 64570 36246 41 0.11 9.92
Philippines 344713 1897 0.55 52924 6372 40 0.63 1.85
Indonesia 340622 3906 1.16 87699 12027 92 0.77 3.53
Saudi Arabia 340089 474 0.14 9291 5087 19 0.37 1.50
Turkey 338779 1632 0.48 32477 8957 62 0.70 2.64
Germany 337314 4464 1.34 59902 9682 42 0.44 2.87
Pakistan 320463 615 0.19 13045 6601 13 0.20 2.06
Israel 296652 2621 0.89 103278 2055 34 1.68 0.69
Ukraine 277982 5311 1.95 92092 5254 111 2.16 1.89
Netherlands 194591 7453 3.98 91747 6689 35 0.53 3.44
Canada 189489 4111 2.22 40634 9707 27 0.28 5.12
Belgium 173240 7360 4.44 68014 10244 33 0.32 5.91
Romania 160461 3109 1.98 45813 5535 68 1.24 3.45
Morocco 156946 3185 2.07 51600 2685 49 1.86 1.71
Ecuador 148171 856 0.58 20528 12235 17 0.14 8.26
Bolivia 138922 227 0.16 7469 8351 25 0.30 6.01
Poland 135278 5068 3.89 54579 3101 62 2.04 2.29
Czechia 129747 8326 6.86 76589 1106 55 5.23 0.85
Qatar 128405 214 0.17 4488 220 0 0.00 0.17
Panama 121296 494 0.41 14012 2511 9 0.36 2.07
Dominican Republic 119008 165 0.14 9739 2183 4 0.18 1.83
Nepal 115358 3556 3.18 48726 663 18 2.79 0.57
Kuwait 112737 844 0.75 12054 672 8 1.20 0.60
Kazakhstan 108984 83 0.08 1534 1768 22 1.26 1.62
United Arab Emirates 108608 1315 1.23 22161 448 2 0.45 0.41
Oman 107213 638 0.60 12502 1053 7 0.67 0.98
Egypt 104787 139 0.13 2533 6071 9 0.15 5.79
Sweden 100654 2203 2.24 11218 5899 5 0.08 5.86
Guatemala 98380 554 0.57 11757 3410 23 0.68 3.47
China 90858 28 0.03 459 4739 0 0.00 5.22
Costa Rica 90238 1015 1.14 23549 1124 16 1.44 1.25
Japan 90153 501 0.56 10380 1635 4 0.25 1.81
Portugal 89121 1208 1.37 19458 2110 16 0.76 2.37
Ethiopia 85718 582 0.68 15296 1305 4 0.31 1.52
Honduras 84852 439 0.52 12546 2528 7 0.28 2.98
Belarus 84524 526 0.63 8420 906 5 0.55 1.07
Venezuela 84391 635 0.76 15938 710 6 0.85 0.84
Bahrain 76272 324 0.43 9870 285 5 1.79 0.37
Switzerland 65881 1445 2.24 15217 2103 7 0.33 3.19
Moldova 63275 657 1.05 15829 1495 17 1.15 2.36
Uzbekistan 61642 323 0.53 8957 511 2 0.39 0.83
Nigeria 60655 225 0.37 3042 1116 1 0.09 1.84
Singapore 57884 4 0.01 257 28 0 0.00 0.05
Armenia 57566 745 1.31 9899 1032 6 0.58 1.79
Austria 57326 1028 1.83 18023 861 6 0.70 1.50
Lebanon 55869 1245 2.28 25017 479 13 2.79 0.86
Algeria 53399 74 0.14 3185 1818 9 0.50 3.40
Paraguay 51197 853 1.69 16369 1108 12 1.09 2.16
Kyrgyzstan 49871 343 0.69 4329 1092 2 0.18 2.19
Ghana 47126 96 0.20 1064 310 2 0.65 0.66
West Bank and Gaza 45200 516 1.15 8620 391 4 1.03 0.87
Libya 44985 1164 2.66 15539 656 12 1.86 1.46
Ireland 44159 808 1.86 10715 1830 3 0.16 4.14
Azerbaijan 42381 277 0.66 3003 612 3 0.49 1.44
Kenya 41937 318 0.76 4719 787 10 1.29 1.88
Afghanistan 39928 58 0.15 832 1480 1 0.07 3.71
Hungary 39862 1025 2.64 20363 996 28 2.89 2.50
Serbia 35006 152 0.44 2007 767 2 0.26 2.19
Denmark 33594 290 0.87 9333 674 3 0.45 2.01
Tunisia 32556 0 0.00 21296 478 0 0.00 1.47
Bosnia and Herzegovina 31173 336 1.09 5436 947 11 1.18 3.04
El Salvador 30480 284 0.94 2526 899 5 0.56 2.95
Burma 30437 1123 3.83 23478 693 29 4.37 2.28
Jordan 28127 2054 7.88 22448 225 18 8.70 0.80
Australia 27337 27 0.10 365 904 5 0.56 3.31
Bulgaria 25774 785 3.14 6651 923 8 0.87 3.58
Korea, South 24889 84 0.34 1673 438 4 0.92 1.76
Greece 23060 408 1.80 7132 462 6 1.32 2.00
Cameroon 21203 0 0.00 605 423 0 0.00 2.00
North Macedonia 21193 80 0.38 4326 800 3 0.38 3.77
Croatia 20993 372 1.80 5857 330 3 0.92 1.57
Slovakia 20886 531 2.61 13955 61 0 0.00 0.29
Cote d’Ivoire 20183 28 0.14 840 120 0 0.00 0.59
Malaysia 16880 660 4.07 6522 163 4 2.52 0.97
Madagascar 16754 28 0.17 618 237 0 0.00 1.41
Kosovo 16345 98 0.60 1137 649 1 0.15 3.97
Norway 15793 154 0.98 2640 277 1 0.36 1.75
Albania 15752 182 1.17 3086 429 5 1.18 2.72
Zambia 15587 38 0.24 1198 345 0 0.00 2.21
Senegal 15307 15 0.10 548 315 0 0.00 2.06
Montenegro 14268 218 1.55 5130 213 2 0.95 1.49
Sudan 13691 0 0.00 113 836 0 0.00 6.11
Georgia 12841 569 4.64 8928 102 9 9.68 0.79
Finland 12499 287 2.35 3304 346 0 0.00 2.77
Namibia 12000 11 0.09 1393 129 0 0.00 1.07
Guinea 11134 72 0.65 747 70 0 0.00 0.63
Maldives 10993 50 0.46 1175 35 0 0.00 0.32
Congo (Kinshasa) 10872 4 0.04 349 276 0 0.00 2.54
Tajikistan 10297 37 0.36 865 79 0 0.00 0.77
Mozambique 10258 170 1.69 3144 73 1 1.39 0.71

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 861310 3397 0.40 68245 16644 58 0.35 1.93 21798.57 421.24 1 in 46
Texas 826816 5706 0.69 85153 17078 83 0.49 2.07 28514.95 588.98 1 in 35
Florida 738749 2725 0.37 50840 15531 119 0.77 2.10 34396.04 723.12 1 in 29
New York 476708 1393 0.29 25481 33306 5 0.02 6.99 24504.92 1712.08 1 in 41
Georgia 333304 993 0.30 25010 7454 25 0.34 2.24 31392.17 702.05 1 in 32
Illinois 327771 2853 0.88 48318 9273 30 0.32 2.83 25866.13 731.78 1 in 39
North Carolina 234481 1734 0.75 38933 3816 43 1.14 1.63 22356.90 363.84 1 in 45
Arizona 226734 684 0.30 11888 5767 8 0.14 2.54 29775.07 757.33 1 in 34
Tennessee 218829 1147 0.53 33681 2797 23 0.83 1.28 32024.50 409.33 1 in 31
New Jersey 215085 988 0.46 14505 16182 7 0.04 7.52 24215.31 1821.85 1 in 41
Pennsylvania 179651 1832 1.03 23174 8361 14 0.17 4.65 14033.05 653.10 1 in 71
Louisiana 172801 682 0.40 10587 5679 10 0.18 3.29 37171.15 1221.61 1 in 27
Ohio 171626 1447 0.85 25776 5017 12 0.24 2.92 14682.57 429.20 1 in 68
Alabama 167193 1117 0.67 20609 2665 0 0.00 1.59 34098.86 543.52 1 in 29
Virginia 160447 1199 0.75 18563 3369 11 0.33 2.10 18797.57 394.70 1 in 53
South Carolina 158883 828 0.52 18094 3576 17 0.48 2.25 30858.77 694.54 1 in 32
Wisconsin 155471 3279 2.15 51301 1508 34 2.31 0.97 26702.06 259.00 1 in 37
Michigan 152862 1466 0.97 22505 7255 30 0.42 4.75 15306.32 726.45 1 in 65
Missouri 146359 205 0.14 29747 2424 0 0.00 1.66 23846.96 394.95 1 in 42
Massachusetts 140412 749 0.54 12443 9630 13 0.14 6.86 20204.61 1385.71 1 in 49
Indiana 138104 1549 1.13 25478 3822 27 0.71 2.77 20513.89 567.72 1 in 49
Maryland 132343 482 0.37 11431 4012 9 0.22 3.03 21890.51 663.61 1 in 46
Minnesota 114574 1135 1.00 23152 2204 7 0.32 1.92 20315.86 390.81 1 in 49
Mississippi 105941 713 0.68 11920 3115 14 0.45 2.94 35596.67 1046.65 1 in 28
Oklahoma 101493 1309 1.31 22421 1119 15 1.36 1.10 25649.16 282.79 1 in 39
Iowa 101422 969 0.96 19804 1491 10 0.68 1.47 32145.72 472.57 1 in 31
Washington 94775 1740 1.87 11582 2211 21 0.96 2.33 12446.01 290.35 1 in 80
Arkansas 94167 680 0.73 17186 1611 25 1.58 1.71 31203.60 533.83 1 in 32
Utah 87819 987 1.14 22775 522 0 0.00 0.59 27392.44 162.82 1 in 37
Nevada 86835 487 0.56 10537 1674 10 0.60 1.93 28191.75 543.48 1 in 35
Kentucky 81691 761 0.94 18960 1269 14 1.12 1.55 18284.91 284.04 1 in 55
Colorado 80061 1048 1.33 14028 2153 37 1.75 2.69 13902.53 373.87 1 in 72
Kansas 66860 461 0.69 12860 799 12 1.52 1.20 22949.81 274.26 1 in 44
Connecticut 61697 320 0.52 5537 4533 1 0.02 7.35 17304.92 1271.43 1 in 58
Puerto Rico 54540 306 0.56 11944 738 3 0.41 1.35 17077.40 231.08 1 in 59
Nebraska 53543 704 1.33 11758 527 5 0.96 0.98 27679.27 272.43 1 in 36
Idaho 49247 584 1.20 10900 512 2 0.39 1.04 27480.59 285.70 1 in 36
Oregon 37780 313 0.84 6467 605 6 1.00 1.60 8957.41 143.44 1 in 112
New Mexico 33713 351 1.05 5923 918 3 0.33 2.72 16078.09 437.80 1 in 62
South Dakota 29339 414 1.43 10150 288 0 0.00 0.98 33164.19 325.55 1 in 30
North Dakota 28244 508 1.83 9736 357 12 3.48 1.26 37062.60 468.47 1 in 27
Rhode Island 26960 666 2.53 2916 1139 9 0.80 4.22 25449.30 1075.18 1 in 39
Delaware 22394 105 0.47 2633 659 3 0.46 2.94 22997.36 676.76 1 in 43
Montana 19611 486 2.54 8911 217 5 2.36 1.11 18348.99 203.04 1 in 54
West Virginia 18557 276 1.51 4163 390 2 0.52 2.10 10383.59 218.22 1 in 96
District of Columbia 16068 46 0.29 1047 637 0 0.00 3.96 22767.30 902.59 1 in 44
Hawaii 13575 61 0.45 2053 173 4 2.37 1.27 9587.73 122.19 1 in 104
Alaska 10028 151 1.53 3092 60 0 0.00 0.60 13707.97 82.02 1 in 73
New Hampshire 9279 71 0.77 1289 456 0 0.00 4.91 6824.24 335.37 1 in 147
Wyoming 7964 162 2.08 2948 57 3 5.56 0.72 13760.48 98.49 1 in 73
Maine 5780 28 0.49 634 143 0 0.00 2.47 4299.92 106.38 1 in 233
Vermont 1886 10 0.53 165 58 0 0.00 3.08 3022.49 92.95 1 in 331

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 16333717 861310 5.27 2529662 68245 2.70 413383.9
2 Texas 7012023 826816 11.79 1344291 85153 6.33 241828.2
3 Florida 5593424 738749 13.21 461082 50840 11.03 260428.9
4 New York 12230436 476708 3.90 2165674 25481 1.18 628699.1
5 Georgia 3180548 333304 10.48 397121 25010 6.30 299559.3
6 Illinois 6414292 327771 5.11 1226878 48318 3.94 506185.5
7 North Carolina 3444583 234481 6.81 619654 38933 6.28 328428.2
8 Arizona 1581151 226734 14.34 180497 11888 6.59 207639.3
9 Tennessee 3225624 218829 6.78 534220 33681 6.30 472053.5
10 New Jersey 3972585 215085 5.41 574936 14505 2.52 447252.9
11 Pennsylvania 2234739 179651 8.04 305177 23174 7.59 174561.9
12 Louisiana 2512847 172801 6.88 305873 10587 3.46 540537.4
13 Ohio 3698741 171626 4.64 809954 25776 3.18 316426.5
14 Alabama 1221207 167193 13.69 155654 20609 13.24 249064.0
15 Virginia 2292562 160447 7.00 380982 18563 4.87 268590.8
16 South Carolina 1511481 158883 10.51 338997 18094 5.34 293564.8
17 Wisconsin 1720713 155471 9.04 261894 51301 19.59 295531.6
18 Michigan 4099559 152862 3.73 708681 22505 3.18 410495.4
19 Missouri 2075699 146359 7.05 833950 29747 3.57 338203.4
20 Massachusetts 4857515 140412 2.89 1380836 12443 0.90 698973.0
21 Indiana 1503923 138104 9.18 188483 25478 13.52 223391.9
22 Maryland 1751309 132343 7.56 207295 11431 5.51 289679.4
23 Minnesota 2355124 114574 4.86 491430 23152 4.71 417602.4
24 Mississippi 810596 105941 13.07 98095 11920 12.15 272364.0
25 Oklahoma 1373716 101493 7.39 271877 22421 8.25 347163.5
26 Iowa 824869 101422 12.30 99787 19804 19.85 261442.4
27 Washington 2061438 94775 4.60 324882 11582 3.56 270711.3
28 Arkansas 1162665 94167 8.10 264668 17186 6.49 385265.9
29 Utah 931732 87819 9.43 162773 22775 13.99 290625.1
30 Nevada 743677 86835 11.68 74603 10537 14.12 241441.3
31 Kentucky 1591005 81691 5.13 522539 18960 3.63 356114.9
32 Colorado 1571329 80061 5.10 352192 14028 3.98 272860.0
33 Kansas 572081 66860 11.69 87390 12860 14.72 196367.8
34 Connecticut 1910348 61697 3.23 430524 5537 1.29 535818.9
36 Nebraska 515493 53543 10.39 87447 11758 13.45 266486.2
37 Idaho 338000 49247 14.57 47089 10900 23.15 188609.2
38 Oregon 751277 37780 5.03 108696 6467 5.95 178123.2
39 New Mexico 1002906 33713 3.36 136223 5923 4.35 478296.5
40 South Dakota 220402 29339 13.31 42056 10150 24.13 249137.8
41 North Dakota 696068 28244 4.06 127528 9736 7.63 913400.8
42 Rhode Island 905649 26960 2.98 208841 2916 1.40 854901.2
43 Delaware 315752 22394 7.09 40915 2633 6.44 324259.3
44 Montana 409651 19611 4.79 95642 8911 9.32 383289.1
45 West Virginia 644666 18557 2.88 121997 4163 3.41 360723.5
46 District of Columbia 443081 16068 3.63 81448 1047 1.29 627816.7
47 Hawaii 456118 13575 2.98 173538 2053 1.18 322146.3
48 Alaska 514789 10028 1.95 83598 3092 3.70 703701.1
49 New Hampshire 508079 9279 1.83 97613 1289 1.32 373666.9
50 Wyoming 113843 7964 7.00 19003 2948 15.51 196701.9
51 Maine 514278 5780 1.12 138846 634 0.46 382587.0
52 Vermont 174560 1886 1.08 17219 165 0.96 279748.5

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 1554389 60505 4.05 1316769 84.71 196288 40859 1429 3.62 2.63
Andhra Pradesh 767465 27746 3.75 719477 93.75 41669 6319 191 3.12 0.82
Karnataka 735371 56015 8.25 611167 83.11 113987 10198 523 5.41 1.39
Tamil Nadu 670392 29449 4.59 617403 92.10 42566 10423 371 3.69 1.55
Uttar Pradesh 444711 17252 4.04 401306 90.24 36898 6507 262 4.20 1.46
Delhi 317548 16715 5.56 289747 91.25 21903 5898 245 4.33 1.86
Kerala 310141 51290 19.81 215149 69.37 93840 1067 136 14.61 0.34
West Bengal 305697 21667 7.63 268384 87.79 31505 5808 369 6.78 1.90
Odisha 259541 15399 6.31 235763 90.84 22653 1125 98 9.54 0.43
Telangana 216238 9594 4.64 191269 88.45 23728 1241 40 3.33 0.57
Bihar 199549 6878 3.57 187998 94.21 10583 967 38 4.09 0.48
Assam 198213 6816 3.56 168069 84.79 29307 834 40 5.04 0.42
Rajasthan 165240 12635 8.28 141835 85.84 21711 1694 89 5.55 1.03
Madhya Pradesh 155276 13254 9.33 138158 88.98 14432 2686 139 5.46 1.73
Gujarat 155098 7148 4.83 136641 88.10 14859 3598 57 1.61 2.32
Chhattisgarh 150696 16084 11.95 121548 80.66 27809 1339 181 15.63 0.89
Haryana 145507 6825 4.92 133706 91.89 10187 1614 66 4.26 1.11
Punjab 125760 4044 3.32 114075 90.71 7760 3925 184 4.92 3.12
Jharkhand 94369 3883 4.29 86367 91.52 7191 811 36 4.65 0.86
Jammu and Kashmir 85409 3616 4.42 74318 87.01 9739 1352 61 4.73 1.58
Uttarakhand 56070 2711 5.08 48798 87.03 6145 796 94 13.39 1.42
Goa 39438 2336 6.30 34731 88.06 4188 519 35 7.23 1.32
Puducherry 32245 1706 5.59 27152 84.21 4525 568 12 2.16 1.76
Tripura 29028 1272 4.58 25371 87.40 3318 316 15 4.98 1.09
Himachal Pradesh 18008 1230 7.33 15214 84.48 2520 250 17 7.30 1.39
Manipur 14074 1395 11.00 10915 77.55 3056 103 20 24.10 0.73
Chandigarh 13403 481 3.72 12119 90.42 1085 199 13 6.99 1.48
Arunachal Pradesh 12768 1289 11.23 9694 75.92 3045 29 7 31.82 0.23
Meghalaya 7991 730 10.05 5582 69.85 2339 70 10 16.67 0.88
Nagaland 7416 680 10.10 5860 79.02 1473 17 5 41.67 0.23
Ladakh 5304 402 8.20 4261 80.34 979 64 1 1.59 1.21
Andaman and Nicobar Islands 4046 94 2.38 3796 93.82 195 55 0 0.00 1.36
Sikkim 3459 213 6.56 2994 86.56 325 59 7 13.46 1.71
Dadra and Nagar Haveli and Daman and Diu 3170 41 1.31 3065 96.69 78 2 0 0.00 0.06
Mizoram 2212 62 2.88 2108 95.30 104 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN
State Unassigned 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 2350108 114800 1080 0.95 4.88 546 62 14256 16994 14.80
Piemonte 808603 39542 585 1.50 4.89 483 30 5965 4183 10.58
Emilia-Romagna 1310995 38356 341 0.90 2.93 323 31 6876 4498 11.73
Veneto 2074007 32316 485 1.52 1.56 272 33 6655 2226 6.89
Lazio 1044724 20864 579 2.85 2.00 896 83 10637 989 4.74
Campania 697829 19827 635 3.31 2.84 694 62 11778 485 2.45
Toscana 856638 19106 480 2.58 2.23 218 44 6917 1181 6.18
Liguria 353832 15902 447 2.89 4.49 272 27 2923 1622 10.20
Sicilia 561166 9926 334 3.48 1.77 426 44 4877 341 3.44
Puglia 461971 9849 180 1.86 2.13 310 23 3998 616 6.25
Marche 270757 8712 82 0.95 3.22 60 6 1395 992 11.39
P.A. Trento 251213 6513 28 0.43 2.59 20 0 685 411 6.31
Friuli Venezia Giulia 454083 5610 38 0.68 1.24 27 10 1404 356 6.35
Abruzzo 228524 5320 146 2.82 2.33 146 15 1679 488 9.17
Sardegna 216503 5295 157 3.06 2.45 164 26 2900 168 3.17
P.A. Bolzano 194574 4143 34 0.83 2.13 54 3 994 293 7.07
Umbria 236287 3608 136 3.92 1.53 68 11 1491 90 2.49
Calabria 226243 2388 44 1.88 1.06 42 1 798 104 4.36
Valle d’Aosta 31763 1529 33 2.21 4.81 11 3 258 146 9.55
Basilicata 83481 1066 8 0.76 1.28 34 0 497 37 3.47
Molise 49398 795 49 6.57 1.61 10 0 210 26 3.27

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 87791 815 0.94 5970 5 0.08 6.80 10282.78 699.25 1 in 97
Ontario 63300 1622 2.63 3069 13 0.43 4.85 4302.66 208.61 1 in 232
Alberta 20956 961 4.81 286 3 1.06 1.36 4748.54 64.81 1 in 211
British Columbia 10734 549 5.39 250 5 2.04 2.33 2100.21 48.91 1 in 476
Manitoba 2779 124 4.67 35 1 2.94 1.26 2017.40 25.41 1 in 496
Saskatchewan 2174 34 1.59 25 0 0.00 1.15 1839.78 21.16 1 in 544
Nova Scotia 1092 0 0.00 65 0 0.00 5.95 1117.18 66.50 1 in 895
New Brunswick 284 6 2.16 2 0 0.00 0.70 364.11 2.56 1 in 2746
Newfoundland and Labrador 283 0 0.00 4 0 0.00 1.41 542.81 7.67 1 in 1842
Prince Edward Island 63 0 0.00 0 0 NaN 0.00 398.34 0.00 1 in 2510
Yukon 15 0 0.00 0 0 NaN 0.00 365.16 0.00 1 in 2739
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68139 4512 6.62
Hong Kong 5201 105 2.02
Guangdong 1869 8 0.43
Zhejiang 1283 1 0.08
Henan 1281 22 1.72
Shanghai 1061 7 0.66
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 948 13 1.37
Beijing 937 9 0.96
Jiangxi 935 1 0.11
Xinjiang 902 3 0.33
Shandong 844 7 0.83
Sichuan 723 3 0.41
Jiangsu 667 0 0.00
Chongqing 585 6 1.03
Shaanxi 431 3 0.70
Fujian 416 1 0.24
Hebei 367 6 1.63
Liaoning 280 2 0.71
Inner Mongolia 270 1 0.37
Guangxi 260 2 0.77
Tianjin 245 3 1.22
Yunnan 211 2 0.95
Shanxi 208 0 0.00
Hainan 171 6 3.51
Gansu 170 2 1.18
Jilin 157 2 1.27
Guizhou 147 2 1.36
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 24011.63 659.80 1 in 42
India 5406.56 82.59 1 in 185
Brazil 24432.05 721.44 1 in 41
Russia 9126.53 158.02 1 in 110
Colombia 18832.24 573.49 1 in 53
Argentina 20714.59 555.05 1 in 48
Spain 19204.59 711.62 1 in 52
Peru 26545.66 1038.82 1 in 38
Mexico 6388.08 653.41 1 in 157
France 11916.06 492.34 1 in 84
South Africa 12245.01 317.84 1 in 82
United Kingdom 9598.25 648.83 1 in 104
Iran 6264.03 358.18 1 in 160
Chile 26829.92 742.16 1 in 37
Iraq 10696.58 260.52 1 in 93
Bangladesh NA NA 1 in NA
Italy 6042.77 599.31 1 in 165
Philippines 3286.11 60.74 1 in 304
Indonesia 1290.23 45.56 1 in 775
Saudi Arabia 10324.50 154.43 1 in 97

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 283750 6790 2.39
Miami-Dade Florida 175837 3465 1.97
Cook Illinois 156726 5315 3.39
Harris Texas 151880 2689 1.77
Maricopa Arizona 147010 3471 2.36
Dallas Texas 86775 1173 1.35
Broward Florida 79611 1481 1.86
Queens New York 74404 7279 9.78
Clark Nevada 72439 1444 1.99
Kings New York 71941 7355 10.22
Riverside California 62553 1258 2.01
Bexar Texas 59902 1361 2.27
San Bernardino California 58579 986 1.68
Tarrant Texas 56159 765 1.36
Orange California 56070 1341 2.39
Bronx New York 53960 4969 9.21
San Diego California 51024 840 1.65
Palm Beach Florida 48176 1461 3.03
Nassau New York 48099 2204 4.58
Suffolk New York 47561 2016 4.24
Hillsborough Florida 44460 719 1.62
Orange Florida 42401 520 1.23
Philadelphia Pennsylvania 39413 1830 4.64
Westchester New York 39064 1460 3.74
Salt Lake Utah 37821 280 0.74
Wayne Michigan 37236 3010 8.08
New York New York 34501 3184 9.23
Hidalgo Texas 33614 1868 5.56
Shelby Tennessee 33167 540 1.63
Milwaukee Wisconsin 33048 551 1.67
Kern California 33020 395 1.20
Duval Florida 32138 491 1.53
Prince George’s Maryland 30878 839 2.72
Hennepin Minnesota 30698 955 3.11
Mecklenburg North Carolina 30670 367 1.20
Travis Texas 30398 442 1.45
Fresno California 29523 424 1.44
Franklin Ohio 29507 635 2.15
El Paso Texas 29384 558 1.90
Middlesex Massachusetts 29358 2196 7.48
Fulton Georgia 29274 594 2.03
Gwinnett Georgia 29015 425 1.46
Davidson Tennessee 28629 322 1.12
St. Louis Missouri 26675 839 3.15
Pima Arizona 26516 633 2.39
Suffolk Massachusetts 25824 1148 4.45
King Washington 24297 788 3.24
Sacramento California 23850 458 1.92
Montgomery Maryland 23817 856 3.59
Utah Utah 23624 66 0.28
Marion Indiana 23512 772 3.28
Cameron Texas 23492 1047 4.46
Pinellas Florida 23367 787 3.37
Bergen New Jersey 23323 2052 8.80
Santa Clara California 22741 363 1.60
Alameda California 22279 431 1.93
Fairfax Virginia 22185 599 2.70
Oakland Michigan 22179 1222 5.51
Essex New Jersey 21913 2131 9.72
Jefferson Alabama 21652 362 1.67
Lee Florida 21438 484 2.26
Essex Massachusetts 21380 1313 6.14
Hudson New Jersey 21286 1519 7.14
Polk Florida 21280 561 2.64
Fairfield Connecticut 21104 1426 6.76
Nueces Texas 20835 432 2.07
San Joaquin California 20828 473 2.27
Oklahoma Oklahoma 20822 202 0.97
Cobb Georgia 20679 442 2.14
Middlesex New Jersey 20475 1435 7.01
DeKalb Georgia 19797 382 1.93
Passaic New Jersey 19693 1255 6.37
DuPage Illinois 19640 585 2.98
Providence Rhode Island 19636 902 4.59
Tulsa Oklahoma 19473 180 0.92
Wake North Carolina 19251 260 1.35
Baltimore Maryland 19102 647 3.39
Douglas Nebraska 18650 207 1.11
Cuyahoga Ohio 18620 667 3.58
Lake Illinois 18521 499 2.69
Union New Jersey 18316 1361 7.43
Jefferson Kentucky 18121 322 1.78
Jefferson Louisiana 18118 578 3.19
Contra Costa California 17783 230 1.29
Polk Iowa 17333 277 1.60
Stanislaus California 17087 387 2.26
Fort Bend Texas 16966 297 1.75
Tulare California 16890 269 1.59
Rockland New York 16829 679 4.03
Baltimore City Maryland 16543 494 2.99
Richmond New York 16496 1089 6.60
Collin Texas 16384 166 1.01
Charleston South Carolina 16340 269 1.65
Richland South Carolina 16206 258 1.59
Macomb Michigan 16162 1043 6.45
District of Columbia District of Columbia 16068 637 3.96
Hartford Connecticut 15949 1443 9.05
Greenville South Carolina 15780 328 2.08
Will Illinois 15766 404 2.56
East Baton Rouge Louisiana 15512 451 2.91

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc